Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …

The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …

Multimedia services are offered to the demanding user by the multimedia cloud. By the fact,
the sudden increase of network users has reduced the service receiving response time …

With the advancement of the 5G networks, edge computing (EC) assisted Internet of Things
(IoT) based applications demand real-time computation and high-volume data-intensive …

To fulfill the future demand and expansion of the coverage of the network, ultra-dense
deployment of small cell (SC) is an optimal solution for future 5G networks, which will ensure …

Over the last decade, the usage of Internet of Things (IoT) enabled applications, such as
healthcare, intelligent vehicles, and smart homes, has increased progressively. These IoT …

Abstract Mobile Device Cloud (MDC) has become a promising and lucrative cloud
environment that exploit nearby mobile devices' idle resources to improve compute …

Task offloading from many Internet of Things (IoT) devices to a mobile edge computing
(MEC) system, consisting of multiple collaborative edge servers (CES), results in reduced …

Energy Efficiency is a key concern for future fog-enabled Internet of Things (IoT). Since Fog
Nodes (FNs) are energy-constrained devices, task offloading techniques must consider the …